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BC institutional-13f-tracker

13F institutional ownership tracker: quarterly hedge fund and mutual fund holdings from SEC 13F filings, by ticker or by manager, with top institutional holders per stock, quarter-over-quarter buying and selling deltas, and activist investor positions across thousands of managers. Use for 13F filings, 13F holdings changes, hedge fund holdings, institutional ownership by ticker, who owns this stock, activist fund positions, and superinvestor portfolios. Read-only. No trading, no purchases, no write operations, no wallet access.

ClawHub Agent Skills author: Senti v1.1.6 MIT-0 2 files body ≈ 3 267 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

13F institutional ownership tracker: quarterly hedge fund and mutual fund holdings from SEC 13F filings, by ticker or by manager, with top institutional…

As a process C 60/100 · Has gaps — weak spots: result and completion, running it twice, progress reporting

ProcedureData and analyticsMarketingtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
79/100
safety, quality, tests
Safety 60%
75
Quality 40%
85
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 5

    ✓ No critical or high findings

    Medium and low: 5
    • medium Exfiltration net-credential-use SKILL.md:79
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "X-SentiSense-API-Key: $SENTISENSE_API_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:101
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "X-SentiSense-API-Key: $SENTISENSE_API_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:109
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "X-SentiSense-API-Key: $SENTISENSE_API_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:118
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "X-SentiSense-API-Key: $SENTISENSE_API_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:128
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "X-SentiSense-API-Key: $SENTISENSE_API_KEY" \

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "requires"
    • note frontmatter-key unknown frontmatter key "primaryEnv"

    Process rating: all ten parameters 60/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 30 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3267 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 532: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 30 items
    • +4Has examples (5 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    This skill is a read-only guide for querying SentiSense 13F institutional holdings data and does not show hidden, destructive, or unrelated behavior.
    LLM: benign (high) · VirusTotal: · 8 Sept 2026